جست‌وجوی استاد و پژوهشگر

• Modeling (multivariate methods, reactor modeling, experimental design)
• Catalytic reactors (exhaust gas purification, automotive catalysis)
• Internal combustion engines
• +۶ مورد دیگر

Jonas Sjöblom is an Associate Professor at Chalmers University of Technology, affiliated with the Transport, Energy and Environment division. His research focuses on connecting modeling techniques, catalytic reactor design, internal combustion engines, and emission control to create environmentally friendly vehicles and improve air quality. Modeling: Multivariate methods, reactor modeling, experimental design Emissions: Engine, brake, and tire particulate matter Air Quality: Control instruments and policy implications Projects: Involved in 40 initiatives, including hydrogen propulsion, emission regulations, and virtual calibration systems His recent work includes computational modeling of catalytic systems, characterization of alternative fuel emissions, and applications of machine learning in trip prediction. Collaborations span Chalmers departments, Gothenburg University, and industry partners like AFA Försäkring and Energimyndigheten.

• Condensed Matter Physics
• Materials Science
• Quantum Physics
• +۳ مورد دیگر

Samuel Brem is a Researcher at Chalmers University of Technology , affiliated with the Condensed Matter and Materials Theory department. His work focuses on excitons , transition metal dichalcogenides , and van der Waals heterostructures , with particular emphasis on optical properties , ultrafast dynamics , and phonon interactions . Research Interests Condensed Matter Physics : Theoretical and computational modeling of excitonic states and charge transfer in 2D materials. Nanotechnology : Engineering moiré patterns and interlayer coupling for tailored optoelectronic properties. Quantum Physics : Probing Coulomb correlations, dark excitons, and hybridized interlayer excitons. Publication Trends : His recent work explores twisted bilayer systems , electrically tunable excitons , and phonon-assisted optical processes in 2D semiconductors. Projects : Samuel is a key participant in the Graphene Core Project 3 (2020–2023), part of the Graphene Flagship initiative, collaborating with researchers across materials theory, condensed matter, and nanotechnology. Affiliations : Condensed Matter and Materials Theory , Chalmers University of Technology Graphene Flagship (European Commission-funded consortium)

Pål Stenmarkمشاهده پروفایل

استاد

• Botulinum neurotoxins
• Enzyme catalysis
• Neurotoxicity
• +۳ مورد دیگر

Pål Stenmark is a Professor of Biochemistry at the Department of Biochemistry and Biophysics , Stockholm University. His research focuses on botulinum neurotoxins and structure-based drug design , particularly targeting enzymes in nucleotide metabolism for cancer therapy. Research Interests Elucidating the molecular mechanisms of botulinum neurotoxins using X-ray crystallography and cryo-EM . Developing novel cancer drugs through structural insights into proteins like MTH1 and OGG1 , which are critical for managing oxidative DNA damage. Applying interdisciplinary collaborations to refine inhibitors for therapeutic applications. Scientific Awards Awarded a grant from the Swedish Brain Foundation (Hjärnfonden) in 2023 for research on ALS, Epilepsy, and Alzheimer's. Students and Collaborators Supervises a team including PhD students and postdocs such as Chloe Leveque , Maria Nowakowska , and Ellen Walse . Laboratory members engage in projects spanning protein structure , neurotoxin interactions , and nanobody tools for synaptic imaging. Publications His recent work explores trends in botulinum toxin engineering , OGG1 activation , and endolysin structures for food safety applications.

Miia Baskمشاهده پروفایل

مدرس ارشد

• social stratification
• inequality
• social policy
• +۳ مورد دیگر

Miia Bask serves as Senior Lecturer in the Department of Sociology at Uppsala University, concurrently holding leadership roles as Director of Studies for Sociology at undergraduate and advanced levels, member of the University Board, and board member of the Swedish Sociological Association. She also contributes as Editor for the journal Sociology (British Sociological Association). Her academic credentials include: PhD in Sociology from Umeå University (2008) Docent in Social Policy from Åbo Akademi, Finland (2015) Research Professor position at NOVA, Oslo Metropolitan University (2016-2018) As a quantitative sociologist, Bask investigates social stratification and inequality through computational social science methodologies. Her work examines social exclusion dynamics among immigrant populations, welfare problem accumulation across life courses, and burnout-school dropout relationships. Recent expansions include population-scale network analysis and child welfare systems research, maintaining consistent focus on structural disadvantage mechanisms while adopting innovative register-data approaches. Current publication trends (2022-2025) reveal intensified examination of foster care matching processes, mental health impacts during pandemics, and disability-inclusive welfare systems—reflecting both continuity in inequality research and responsive adaptation to contemporary social challenges through Scandinavian welfare contexts. Through her Director of Studies role, Bask shapes sociology curricula while her editorial and board memberships demonstrate significant disciplinary engagement. Though specific grant details remain unlisted, her sustained high-output publication record across top journals indicates robust research infrastructure support.

Joshua Juvrudمشاهده پروفایل

استادیار

• Developmental Psychology
• Game Design
• Virtual Reality
• +۳ مورد دیگر

Joshua Juvrud is an Assistant Professor at the Department of Game Design , Uppsala University , based at Campus Gotland in Visby, Sweden. His research bridges developmental psychology, game design, and virtual reality, with a focus on how interactive technologies influence human cognition and social behavior across cultures. Research Interests: Developmental Psychology: Investigating infant cognition, gaze following, and social learning. Game Design: Exploring how game mechanics affect performance, engagement, and learning. Virtual Reality: Studying avatar-based identity expression and social interaction in VR environments. Cross-Cultural Psychology: Examining how cultural contexts shape cognitive and emotional development. Publication Trends: His recent work (2022–2025) emphasizes the intersection of digital media and developmental outcomes, including studies on expertise in arcade games, cultural resilience in infant gaze behavior, and gender identity in virtual spaces. Earlier work focused on foundational aspects of infant attention, action prediction, and the role of caregiving in perceptual development. Contact: Email: joshua.juvrud@speldesign.uu.se Phone: +46 72-999 96 52 | +46 18-471 84 47 | +46 498-10 84 47 Visiting Address: Strandgatan 1b (Residenset), 621 57 VISBY

Johan Wejrydمشاهده پروفایل

پژوهشگر

• Political Science
• Political Participation
• Democratic Theory
• +۷ مورد دیگر

Johan Wejryd is a researcher in political science at Uppsala University , affiliated with the Institute for Housing and Urban Research (IBF) and the Department of Political Science . He also holds a visiting researcher position at the Center for Multidisciplinary Research on Religion and Society (CRS) . His work focuses on political participation, democratic theory, and how consumer choices intersect with political engagement. Current affiliations: Uppsala University (Department of Political Science, Institute for Housing and Urban Research), Center for Multidisciplinary Research on Religion and Society Research themes: Political consumerism, climate policy, voting rights, competence/influence dynamics, intellectual disability inclusion Contact: johan.wejryd@ibf.uu.se , Johan.Wejryd@statsvet.uu.se Wejryd employs survey experiments and conjoint methods to analyze political attitudes, including studies on: Climate policy through lifestyle choices Voting rights frameworks Demobilizing effects of consumer advertising Marketization of education systems AI ethics and human dignity His publications span both empirical and theoretical domains, with recent work examining: AI's democratic implications Family migration perceptions Boomeranging effects of school marketization Economic contribution-based inclusion frameworks Political participation erosion through consumerism

• High Voltage Engineering
• Dielectric Properties
• Electrical Insulation
• +۳ مورد دیگر

Olof Hjortstam serves as an Adjunct Professor in the Department of Electrical Power Engineering at Chalmers University of Technology. His research primarily focuses on high voltage engineering, dielectric properties, and the application of machine learning techniques to electrical insulation problems. His research interests span high voltage engineering, dielectric properties, electrical insulation systems, physics-informed machine learning applications, charge dynamics in various media, and partial discharge phenomena. Hjortstam's work demonstrates a strong interdisciplinary approach, combining traditional electrical engineering principles with modern computational techniques. His recent publications reveal a consistent focus on understanding electrical insulation behavior under various conditions, particularly examining how humidity affects charge formation and accumulation in air and at material interfaces. A notable trend in his work is the innovative application of physics-informed neural networks to extract meaningful physical parameters from high voltage experimental data, bridging the gap between theoretical models and empirical observations. Hjortstam actively collaborates with researchers across multiple institutions, as evidenced by his co-authorship on numerous conference proceedings in leading IEEE dielectrics conferences. His work contributes significantly to advancing our understanding of electrical insulation systems under DC stress, which has important implications for the development of next-generation high-voltage DC transmission systems.

• Power Electronics
• Electric Vehicles
• Traction Motor Systems
• +۴ مورد دیگر

Artem Rodionov is a researcher at Chalmers University of Technology, specifically affiliated with the Department of Electrical Power Engineering . His work focuses on power electronics and electric vehicle technologies, with specialization in traction drive systems and energy efficiency optimization. Current projects: LongDrive (2024–2027) with Volvo Group and Energimyndigheten, PowerDrive (2022–2025) funded by EU, and Integrerade drivsystem (2016–2020) with Energimyndigheten Collaborators: Yujing Liu, Nimananda Sharma, Alessandro Acquaviva, Anton Kersten Key research themes include: Power electronics for transportation electrification High-density drive systems for EVs Thermal management of power modules Multi-motor drivetrain verification Capacitor dimensioning in traction applications Publication trends show expertise in: IEEE Transactions: Inverter loss analysis IECON Conferences: Capacitor sizing, bus bar inductance Doctoral thesis: High power density EV drives Multi-phase motor efficiency studies Cooling system parameter sensitivity

• Marine Ecology
• Evolutionary Biology
• Genetics
• +۳ مورد دیگر

Kerstin Johannesson is a Professor in Marine Ecology at the University of Gothenburg's Department of Marine Sciences, and Director of the Tjärnö Marine Laboratory. Her research focuses on evolutionary mechanisms in marine organisms, particularly Littorina snails and Fucus seaweeds, exploring adaptation over environmental gradients and speciation under divergent selection. University of Gothenburg, Department of Marine Sciences Director, Tjärnö Marine Laboratory She leads genomic studies on hybrid zones and chromosomal inversions, with major projects like CeMEB (Marine Evolutionary Biology) and BaltGene. Her work combines field experiments, genome analysis, and conservation genetics, including the discovery of Fucus radicans as a Baltic Sea endemic species. Recent publications (2025–2022) analyze structural variants, hybridization, and genetic monitoring in marine ecosystems. Collaborators include Roger Butlin, Anja Westram, and Rui Faria.

Alessandra Villaمشاهده پروفایل

پژوهشگر

• Biomolecular simulations
• Molecular modeling
• Molecular dynamics
• +۷ مورد دیگر

Alessandra Villa is a researcher at KTH Royal Institute of Technology, affiliated with the PDC Center for High Performance Computing. She contributes to the European Center of Excellence BioExcel and participates in the GROMACS user-driven development. Her work spans multiple institutions in Germany (Goethe University, MPI for Polymer Science) and Sweden (Karolinska Institute, Molecular Biophysics Stockholm). University of Milano - Degree in Chemistry (1995) University of Milano - PhD in Physical Chemistry (2000) Karolinska Institute - Docent in Biochemistry (2015) Her research focuses on elucidating molecular interactions governing cellular processes through multiscale biomolecular simulations . She specializes in atomistic and coarse-grained molecular modeling , particularly for nucleic acids and axonal membrane systems , combining experimental data with computational approaches. Recent publications highlight her work in molecular dynamics simulations of tRNA-enzyme interactions (2024), axonal injury mechanisms (2023), and nucleic acid structural studies (2017-2019). Key trends include biomolecular force field development , RNA conformational analysis , and lipid membrane mechanical behavior . Marie Curie Fellowship Docent in Biochemistry (Karolinska Institute, 2015) She actively develops GROMACS training materials , contributes to the Competency Hub, and manages the GROMACS forum. Her projects include multiscale modeling of axonal components and density-guided simulations combining cryo-EM data .

• Stochastic Processes
• Monte Carlo Simulation
• Mathematics of Data Science
• +۴ مورد دیگر

Henrik Hult is a Professor of Mathematical Statistics at KTH Royal Institute of Technology. He currently serves as director of Brummer and Partners MathDataLab at KTH. His academic appointments include Assistant Professor at Brown University (2006-2008) and Senior Lecturer at KTH (2008-2015) before becoming a full Professor in 2015. His research spans multiple domains with strong connections between theoretical probability and practical applications. Hult's work demonstrates significant contributions to stochastic processes , Monte Carlo simulation , mathematics of data science , mathematical finance , and insurance . His research methodology often bridges theoretical mathematics with computational techniques to solve complex real-world problems. The analysis of his recent publications reveals a strong interdisciplinary approach, with research spanning financial mathematics (algorithmic trading, risk management), probability theory (coalescent models, diffusion processes), computational statistics (rare event simulation, importance sampling), and medical applications (neuroimmunology, medical image analysis). His work demonstrates consistent focus on developing rigorous mathematical frameworks for practical applications across diverse fields. Hult teaches several advanced courses including Degree Project in Financial Mathematics, Foundations of Probability Theory, Modern Methods of Statistical Learning, Portfolio Theory and Risk Management, and Statistical Machine Learning, reflecting his broad expertise across theoretical and applied statistics. His collaborative research network is extensive, with frequent co-authorship with colleagues at KTH and international institutions. The diversity of his publication venues—from top probability journals like Electronic Journal of Probability to interdisciplinary journals like Proceedings of the National Academy of Sciences —demonstrates the wide applicability of his mathematical approaches.

Damiano Varagnoloمشاهده پروفایل

مدرس ارشد

• Distributed Optimization
• Control Theory
• Distributed Estimation
• +۶ مورد دیگر

Dr. Damiano Varagnolo is a Senior Lecturer at the Control Engineering Group, Luleå University of Technology, Sweden. His research focuses on distributed optimization, control systems for data centers and HVAC, and biomedical engineering applications. Current affiliation: Luleå University of Technology Primary research areas: Distributed optimization, Newton-Raphson Consensus methods, networked systems, energy-efficient control Selected applications: Smart building systems, biomedical modeling of pain responses, data center thermal management His work on distributed optimization explores asynchronous protocols and robustness in networked systems. Recent publications demonstrate applications in peer-to-peer networks, biomedical engineering, and energy-efficient computing infrastructure. Key collaborative projects include IEEE Transactions publications on data center cooling, European Control Conference contributions on sensor calibration, and IFAC symposium presentations on biomedical modeling. His distributed Gaussian regression methods appear in TPAMI publications.

Patrick Normanمشاهده پروفایل

استاد

• Theoretical Chemistry
• Molecular Response Theory
• Computational Spectroscopy
• +۵ مورد دیگر

Patrick Norman is a Professor and Head of the Division of Theoretical Chemistry and Biology at KTH Royal Institute of Technology, Stockholm, Sweden. He also serves as Director of the PDC Center for High Performance Computing. His research focuses on advanced time-dependent molecular response theory methods, with applications in optical and X-ray spectroscopy. Coordinates VeloxChem and Gator HPC software projects Leads EU-EIC project OMICSENS (2023–2026) for lung cancer biosensors Principal Investigator in EU-ITN COSINE (2018–2021) and KAW network CoTXS (2014–2019) His theoretical work includes resonance convergent response theory via Liouville equations and Ehrenfest theorem, implemented in quantum chemistry software for linear/nonlinear spectroscopy. He co-authored the graduate textbook Principles and Practices of Molecular Properties (Wiley, 2018) and organizes international PhD schools on molecular response properties. Recent publications emphasize fragment state optimization, solvation effects, chiral luminescent materials, and amyloid ligand binding simulations. His work bridges quantum chemistry, HPC, and biomedical applications through tools like Gator and VeloxChem .

• AI in Education
• Learning Analytics
• Visual Analytics
• +۶ مورد دیگر

Jörgen Nissen is a researcher at Linköping University , specializing in educational technology and pedagogical design. He works within the Faculty of Educational Sciences and Department of Social and Welfare Studies , focusing on integrating visual analytics and knowledge visualization tools into K-12 education. Active in multiple research projects (VISE, MAW 20140120, Swedish Research Council grants) Collaborates with Dr. Linnéa Stenliden, Katarina Sperling, and Fredrik Heintz Develops didactic frameworks combining visual analytics and knowledge visualization Investigates AI implementation challenges in primary education Addressing ethical concerns in educational data collection His work examines digital competence development through computational thinking and visual literacy, with particular focus on democratic education in post-truth contexts. Current research explores how interactive data visualization tools can enhance students' analytical reasoning capabilities while maintaining critical awareness of algorithmic decision-making processes. Collaborative projects with the National Centre for Visual Analytics (NCVA) demonstrate his commitment to bridging technical capabilities with pedagogical needs. While no explicit awards are mentioned, his publications in journals like Postdigital Science and Education and European Journal of Education establish his expertise in the field.

• Sustainable Forestry Management
• Continuous Cover Forestry
• Individual-Tree-Selection Methods
• +۳ مورد دیگر

Nils Fagerberg is a Lecturer at Linnaeus University's Department of Forestry and Wood Technology within the Faculty of Technology. He holds a PhD in Forest Industry Production Systems and focuses on sustainable forestry practices, particularly continuous cover forestry and individual-tree-selection methods. He works 60% at the university, teaching courses like Sustainable Family Forestry III and Hygge-Free Forestry, while dedicating the remaining time to his family farm and consulting in continuity forestry and beef production. His education includes a B.Soc.Sc. in Ecological Economics, M.Sc. in Forestry, and M. in Sustainable Development. His doctoral research investigated optimizing tree selection in uneven-sized forests to balance economic returns with environmental and social benefits. He collaborates with the Forest Management research group, addressing sustainable forest use through interdisciplinary approaches. Fagerberg’s publications emphasize quantitative models for tree growth, knot prediction, and optimization strategies in continuous cover forestry. He has contributed datasets from Linnaeus University’s field trials, enabling further research into spruce growth and canopy dynamics. His work bridges academic research with practical forestry applications, advocating for sustainable management practices.